Der-Horng Lee is a Fellow of the Academy of Engineering Singapore, Qiushi Chair Professor at Zhejiang University, former Dean of the Zhejiang University–University of Illinois Urbana-Champaign Institute, and holds a PhD from the University of Illinois. He currently serves as an Executive Committee Member and Director of the Transportation Division of the Academy of Engineering Singapore. He is internationally recognized for his contributions to transportation and logistics systems.
Before joining Zhejiang University, Professor Lee was a tenured full professor in the Department of Civil and Environmental Engineering at the National University of Singapore and a member of the University Senate. Over the years, he has been active at the forefront of future transportation, logistics systems, smart cities, and decision-making for complex systems, with extensive experience spanning academic research, policy advisory work, and industrial practice. In 2002, he was named one of the TR35: Global Top 35 Innovators Under the Age of 35 by MIT Technology Review. He has also been consistently listed among Stanford University’s World’s Top 2% Scientists and Elsevier’s Highly Cited Researchers in China.
Professor Lee’s scholarly influence has long been at the forefront internationally across multiple areas, including transportation logistics, port operations, maritime transportation, intermodal transport, and public transportation. His research encompasses future transportation and AI systems, the low-altitude economy and unmanned transportation networks, intermodal transport and smart supply chain optimization, digital twins and intelligent decision-making for complex systems, as well as sustainable mobility and urban transport governance. He has produced a series of original and internationally influential contributions in such areas as large-scale container port logistics operations, urban rail transit, highly accessible autonomous transportation systems, and high-fidelity transportation simulation.
In addition to his academic work, Professor Lee has long been involved in strategic and policy planning related to transportation and national development in Singapore. He also previously served at a major publicly listed technology company as Senior Vice President for Research and Development, where he was responsible for major R&D programs and the management of high-level technical teams. His career spans academia, policy, and industry, giving him a distinctive and integrative perspective.
As a foreign academician working full-time in China, Professor Lee was received by President Xi Jinping in Beijing in October 2019.

Research Areas
1.Future Transportation and Artificial Intelligence Systems
2.Low-Altitude Economy and Unmanned Transportation Networks
3.Intermodal Transport and Smart Supply Chain Optimization
4.Digital Twins and Intelligent Decision-Making for Complex Systems
5.Sustainable Mobility and Urban Transport Governance

Prof. Ma, Vice Dean of ZJU-UIUC Institute, Zhejiang University (2017-2025), is a Professor and PhD supervisor of the College of Electrical Engineering, Zhejiang University. He currently serves as the Vice President of the China Power Supply Society, the Deputy Director of the Professional Committee on Wireless Power Transfer Technology and Devices. He is also the Deputy Director of the Wireless Power Transfer Technology Professional Committee of the China Electrotechnical Society. Additionally, he holds the positions of Vice President and Secretary-general of Power Supply Society of Zhejiang Province, as well as Vice President of the Zhejiang Electrical and Power Engineering Society. Prof. Ma was served as AdCom member of IEEE Industrial Electronics Society (2014-2015), Technical Program Chair of IEEE PEAS 2021, IEEE PEAC 2018, IEEE PEAC 2014 and IEEE ISIE 2012, and was served as Co-chair of Power Electronics and Renewable Energy Track, IEEE IECON 2010, Co-chair of Power Electronics and Energy Conversion, IEEE IECON 2013, Special Session Co-chair of IEEE IECON 2017, Co-chair of Power Systems and Smart Grids, IEEE IECON 2018 and IEEE IECON 2019. Prof. Ma has won 1 second - prize of the National Teaching Achievement Award, 1 grand - prize, 1 first - prize, and 1 second - prize of the provincial and ministerial teaching achievement awards. He has also obtained 1 first - prize of the Technological Invention Award of the Ministry of Education, 2 first - prizes and 1 second - prize of the Science and Technology Progress Award of Zhejiang Province, 1 second - prize of the Science and Technology Progress Award of the Ministry of Education, and 1 second - prize of the Natural Science Award of the National Science and Technology Award nominated by the Ministry of Education. He served as the chief editor of the national planning textbooks for the 11th and 12th Five - Year Plan periods, and one of the textbooks was rated as an excellent textbook by the Ministry of Education. Under his guidance, postgraduate students have won 2 excellent master's theses and 1 excellent doctoral thesis in Zhejiang Province.

His main research contents include power electronics technology and its applications, advanced control technologies for power electronics, wireless power transfer technology, power electronics technology in electric vehicles, theories and methods for fault diagnosis of power electronics systems, new high - efficiency power conversion topologies and control technologies, etc.

Prof. Hongwei Wang is a tenured professor at ZJUI where he services as the vice dean and the director of the data and information sciences research program. He is the vice president of the Information Technology Branch of the Zhejiang Association of Scholars from Overseas. Prof. Wang serves as an editorial board member of Journal of Service Oriented Computing and Applications. He has been invited to deliver keynote speeches twice in international conferences, and has won four best paper awards. Prior to joining Zhejiang University, he held a permanent academic position at the University of Portsmouth, UK. Prof. Wang got his bachelor’s degree from Zhejiang University, China, his master degree from Tsinghua University, China, and his Ph.D. degree from the University of Cambridge, UK, respectively. Prof. Wang has a broad interest in Knowledge-Based Systems (KBS) in the design, analysis, manufacture and maintenance of complex systems. He has been focusing on industrial knowledge graph, knowledge-based reasoning and decision making, fault diagnosis in the past few years. He has published over 140 papers in well-established journals and conferences such as IEEE Trans. on Services Computing, IEEE Trans. on Neural Networks and Learning Systems, IEEE Trans. on Industrial Informatics, IEEE Trans. on SMC: Systems、Energy, Neurocomputing, Energy.

Prof. Ruisheng Diao obtained his B.S. in Electrical Engineering from Zhejiang University in 2004, M.S. degree in Electric Power Systems & Automation from Zhejiang University in 2006 , and Ph.D. degree in Electrical Engineering from Arizona State University in 2009. He published around 100 SCI/EI indexed peer-reviewed articles, 1 book chapter, filed 19 patent applications (including 13 U.S. patents, 2 of which were granted by USPTO), and owned multiple software copyrights. Prof. Diao is a senior member of IEEE, a registered professional engineer (PE) at Washington State, USA and serves as a R&D project reviewer for the U.S. DOE and power companies. He is on the editorial board for multiple top journals in power systems, including IEEE Transactions on Power Systems, IEEE Access, IET Generation, Transmission&Distribution, and International Journal of Numerical Modelling.

Research areas: Power system security and stability; power grid modeling, simulation and analysis; planning, operation and control of new-style power system

Prof. Wee-Liat Ong is an Associate Professor at ZJUI. He graduated with a B.Eng in Mechanical Engineering from the National University of Singapore (NUS) and was the valedictorian of his class and recipient of the IES gold medal and Lee Kuan Yew gold medal in 2002. In 2015, he received his Ph.D. in Mechanical Engineering at Carnegie Mellon University under Prof. Jonathan Malen and Prof. Alan McGaughey. Before becoming a faculty at ZJUI, he was a joint post-doctoral fellow at Columbia University and Carnegie Mellon University working with chemists to characterize novel hybrid materials.

Dr. Gaoang Wang joined the ZJU-UIUC as an assistant professor in September 2020. He is also an adjunct assistant professor at UIUC. His research interests are computer vision, image and video processing, including multi-object tracking, pose estimation, deep neural networks, etc. Gaoang Wang received a B.S. degree from the electrical engineering department of Fudan University in 2013. He received a M.S. degree from the electrical and computer engineering department of the University of Wisconsin-Madison in 2015. He then received a Ph.D. degree from the information processing laboratory of the electrical and computer engineering department at the University of Washington in 2019. After that, he joined Megvii US office in July 2019 as a research scientist working on multi-frame fusion. He then joined Wyze Labs in November 2019, working on network design for edge-cloud collaboration. Gaoang Wang participated in AI City Challenge held by Nvidia from 2017 to 2019 each year and won the first and second prizes in several tracks. He has published papers in several renowned academic journals and international conferences, including IEEE T-IP, IEEE T-MM, IEEE T-CSVT, IEEE T-VT, CVPR, ICCV, ACM MM, etc.

Research areas：Computer Vision, Image and Video Processing

Binbin Li is an Associate Professor in the Zhejiang University-University of Illinois Urbana-Champaign Institute at the Zhejiang University, International Campus. He obtained his Ph.D. in Civil Engineering from the University of California-Berkeley in 2016. Before joining ZJU, he worked as a research associate at the University of Liverpool. Prof. Li’s research focuses on developing innovative statistical methods to address safety, sustainability and resilience issues of the built civil infrastructure systems including bridges, buildings, and road/rail networks. His specific interests include Bayesian system identification, operational modal analysis, infrastructural network modeling and field test, for structure and infrastructure health management and resilience assessment. The ultimate goal of Prof. Li’s work is to equip the civil infrastructure systems with a smart brain so that they can sense, process and react properly to the external excitations, e.g., earthquakes, windstorms.

Direction：Structural Dynamics, Risk & Uncertainty, Structural Health Monitoring, Bayesian statistics

Dr.Chen is a tenured associate professor with ZJU-UIUC Institute, International Campus, Zhejiang University. His research interests include multi-physics computation methods and their applications for micro/nano-scale electronic devices and 3-D ICs. Dr.Chen received the Ph.D. degree in electrical and computer engineering from University of Florida, Gainesville, FL, USA, in 2014, the M.E. degree in electronic engineering from Shanghai Jiao Tong University, Shanghai, China, in 2009, and the B.E. degree in information engineeringfrom Xi’an Jiaotong University, Xi’an, China, in 2006. Dr.Chen has published over 20 peer-reviewed journal papers as well as 1 book chapter. He has been awarded for several awards in the past, including Chinese Government Award for Outstanding Self-financed Students Abroad, Best Student Paper Award in 2016 IEEE MTT-S IMWS. Dr. Chen also served as Technical Program Committee Member of IEEE MTT-S IMWS 2016, IEEE EDAPS 2017.

Research areas: multi-physics computation methods and their applications for micro/nano-scale electronic devices and 3-D ICs

Dr Fangwei Shao graduated from Fudan University with BS and MS in Chemistry. She then moved to USA to pursue herPh.D. at California Institute of Technology under the supervision of Professor Jacqueline K. Barton from 2002 to 2007. She further obtained postdoctoral research training at Harvard Medical School/Massachusetts General Hospital from 2007-2010 at Professor (M.D.) Ralph Weissleder’s group. She has begun her independent academic career at Division of Chemistry and Biological Chemistry at Nanyang Technological University (Singapore) as Nanyang Assistant Professor since 2010.

Research areas: Nucleic Acid Chemistry, Bioinorganic Chemistry, Chemical Biology

Liangjing Yang received the B.Eng. and M.Eng. degrees in Mechanical Engineering from the National University of Singapore (NUS) in 2008 and 2011, respectively. He obtained the D.Eng. degree from the University of Tokyo (UTokyo) in 2014 with a scholarship to work in the Bio-Medical Precision Engineering Laboratory. Before joining ZJU-UIUC Institute, he was with the Singapore University of Technology and Design (SUTD), and Massachusetts Institute of Technology (MIT) under a joint postdoctoral fellowship award. Liangjing’s research interests are in Robotics and Computer Vision primarily focusing on biomedical applications. His work in UTokyo on image mapping for 3D ultrasound-guided endoscopic procedures is published in both engineering and medical journals including Surgical Endoscopy. The work is also recognized by two awards, namely, the Young Investigator Award 2013 from International Society of Computer Aided Surgery and the Best Paper Award in ACCAS 2015 from IEEE-Engineering in Medicine and Biology Society. In NUS, he developed a robotic system for overlapping ablation of large liver tumors, which is featured in a special issue on “Surgical and Interventional Medical Devices” of ASME/IEEE Transactions on Mechatronics. In SUTD and MIT, Liangjing combines his expertise in Robotics and Computer Vision to develop a vision-guided robotic micromanipulation platform which is published in IEEE Transactions on Automation Science and Engineering. He holds a US patent on a Robotic Surgical Training System. This development was named “Best Innovation in Biomedical Application” in a challenge organized by National Instrument in 2011.

Research areas: Computer Vision, Vision-Guided Micromanipulation

Director of Academic Affairs Office for Graduates. Responsible for Institute's graduate program management, etc.

He earned the Bachelor's and Master's Degrees at Tsinghua University in China, and obtained his Ph.D. in the ECE department working with Prof. William P. King in 2014. He then joined IBM T. J. Watson Research Center as a postdoctoral research scientist for almost 3 years. He has led projects in both academia and industry, resulting to 20 peer-reviewed journal papers published in international-recognized journals including Advanced Materials, PNAS, Biomaterials and Nanotechnology. Moreover, he has a strong application-oriented mindset and filed 18 US patent disclosures (4 patents granted). In addition, he has also assisted and led several successful funded proposals including a 2 million dollars NSF EFRI award and a 200,000 dollars industrial award. He is interested in advanced nanomanufacturing, bio-inspired sensing, micro/nano-sensors, lab on chip. He is passionate in applying technology to the real world. He is now leading Nanomanufacturing and Biomimetics Research Group at ZJUI.

Research areas: Nanomanufacturing，Nanotechnology

Dr. Simon Hu is an Associate Professor at the ZJU-UIUC Institute at Zhejiang University. He has a background in Civil Engineering and specialises in Transport and Environment Engineering. In 2006, he completed his Master degree in Transport and Sustainable Engineering from Imperial College London; he earned his PhD in Transport System Engineering in the same department in 2011. He is a member of Chartered Institute of Highways and Transport Engineering (CIHT) and Institute of Electrical and Electronics Engineering (IEEE). In the past, he obtained research grants and undertook research projects through the Royal Society, Engineering and Physical Sciences Research Council (EPSRC), UK Natural Environmental Research Council (NERC), Department for Transport (DfT), European Commission, INNOVATE UK and industry. To date, he has obtained total grant value of more than £2million. He has published over 10 peer reviewed journal papers, 30 conference proceedings and 2 government reports.

Research areas: Transportation and Environment, Vehicle Emission Measurement and Modelling, Transportation Planning and Management, Sustainable Urban Transportation Systems